At a Glance
- Tasks: Lead the Agent Platform team, designing and maintaining high-quality AI systems.
- Company: Join Google DeepMind, a pioneering AI lab transforming technology for global benefit.
- Benefits: Competitive salary, diverse career pathways, and a culture of innovation.
- Other info: Embrace a collaborative environment focused on ethical AI and global challenges.
- Why this job: Make a real impact in AI development while leading a dynamic team.
- Qualifications: 8 years in software development and experience managing technical teams.
The predicted salary is between 80000 - 100000 € per year.
Minimum qualifications:
- Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
- 8 years of experience in software development, including distributed systems architecture and distributed systems design.
- 2 years of experience managing or leading technical teams.
- Experience in software development using general-purpose programming languages (e.g., Python, Go, Java, or C++).
- Experience with LLMs including agent development, evaluation frameworks, advanced prompt engineering.
Preferred qualifications:
- Experience in Site Reliability Engineering (SRE) or building safe, predictable, reliable systems.
- Experience in a startup environment with an ability to move with urgency, adapt to changing requirements, and do "whatever is needed" to achieve the mission.
- Experience managing critical dependencies and partnerships with Google infra teams (TPU/Compute infrastructure).
- Track record of building and maintaining infrastructure systems.
- Ability to take ambiguous organizational problems and turn them into simple, elegant technical solutions.
About The Job:
As the Lead for the Agent Platform team, you will be part of Google DeepMind (GDM’s) transformation into an AI-first organization. You will balance technical contributions with strategic management. You will lead a growing nimble, high-density team of currently 4 Executive Software Engineers, while remaining personally embedded in the codebase—spending 30–50% of your time designing and committing code. You will navigate Google/GDM infrastructure, and build bridge-technologies that turn research into production-grade agentic systems. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities:
- Design, build, and maintain the Agent Platform, to ensure high-quality delivery.
- Lead on critical systems, ensuring the platform is high-quality, scalable, and reduces toil across functional lines.
- Develop and communicate a technical strategy that addresses orchestration, tool‑use infra, and sandboxing.
- Invest in growth of the SWE team, providing coaching and feedback while fostering a culture of technical excellence and "AI-first" innovation.
- Act as the primary technical point-of-contact for teams building on the platform and navigate upstream dependencies across Google and GDM to remove barriers to productivity.
- Lead the team through GDM’s pivot toward an innovation center, ensuring work aligns with the broader mission of scaling intelligent workflows across the organization.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Senior Engineering Lead, Organizational Engineering Agent Platform, DeepMind in London employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Senior Engineering Lead role offers the unique opportunity to work at the forefront of AI technology in a dynamic environment, where you can lead a talented team while remaining hands-on with code. With a commitment to employee growth, diverse career pathways, and a focus on ethical AI development, we empower our employees to make a meaningful impact on global challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineering Lead, Organizational Engineering Agent Platform, DeepMind in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at Google DeepMind. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to distributed systems or LLMs, make sure to highlight them. It’s all about demonstrating what you can do!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've tackled complex problems and led teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Engineering Lead, Organizational Engineering Agent Platform, DeepMind in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 8 years of software development experience and any leadership roles you've had. We want to see how you've tackled distributed systems and managed teams, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Senior Engineering Lead role. Use keywords from the job description, especially around LLMs and agent development, to show us you’re the perfect fit.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see your skills and experiences at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Google DeepMind
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages mentioned, like Python or Java. Brush up on your experience with distributed systems and LLMs, as these will likely come up during technical questions.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed technical teams in the past. Highlight your ability to foster a culture of innovation and excellence, as this aligns with the role's responsibilities.
✨Understand the Company’s Mission
Familiarise yourself with Google DeepMind’s goals and values, especially their focus on AI for public benefit. Be ready to discuss how your vision aligns with their mission and how you can contribute to their innovative projects.
✨Prepare for Scenario-Based Questions
Expect to tackle ambiguous problems during the interview. Think of examples where you’ve turned complex challenges into simple solutions, particularly in a fast-paced environment. This will demonstrate your problem-solving skills and adaptability.
